Article

Uncovering Invariant Representations in Functional Neuroimaging with Deep Metric Learning

2023-09-19

Abstract excerpt

With the increasing ability to record neuroimaging with higher spatial and temporal resolution, there is a growing need for methods that reduce these high-dimensional representations into latent low-dimensional structures that are discriminative and/or predictive of behavior, disease, or in general experimental context. We propose a metric learning framework to extract meaningful latent structures from high-dimens...

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Literature Corpus work: cc85613f-23ad-5e3b-8abc-f3afc14e26cb
DOI: 10.1101/2023.09.17.558181

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